Figure 2 | Scientific Reports

Figure 2

From: Identification of m5C-related lncRNAs signature to predict prognosis and therapeutic responses in esophageal squamous cell carcinoma patients

Figure 2

Identification and validation of the m5C-related lncRNAs prognostic signature (m5C-LPS) based on the cohort of TCGA-ESCC and GSE53622. (A,B) The minimum criterion of the LASSO regression algorithm was used to identify the most robust prognostic m5C-related lncRNAs. (C) Forest plot presenting the hazard ratio (HR) and 95% confidence interval (CI) of the 9 lncRNAs by the multivariate Cox regression. (D) The coefficients of the 9 lncRNAs contained in the m5C-LPS formula. (E) The distributions of the risk score, vital status, overall survival (OS), and expression levels of the 9 m5C-related lncRNAs in low- and high-risk groups in the cohort from TCGA-ESCC. (F) Kaplan–Meier (K–M) analysis demonstrated that patients with higher risk scores exhibited worse overall survival in the cohort from TCGA-ESCC. (G) K–M analysis demonstrated that patients with higher risk scores exhibited worse disease-free survival in the cohort from TCGA-ESCC. (H) The area under the curve (AUC) of the time-dependent ROC curves measures the predictive value of the risk score in the cohort from TCGA-ESCC. (I) The distributions of the risk score, vital status, overall survival (OS), and expression levels of the 9 m5C-related lncRNAs in low- and high-risk groups in the cohort from GSE53622. (J) K–M analysis demonstrated that patients with higher risk scores exhibited worse overall survival in the cohort from GSE53622. (K) AUC of the time-dependent ROC curves measuring the predictive value of the risk score in the cohort from GSE53622.

Back to article page